• Deep Learning to Identify Human Settlements from Landsat Imagery
    Need to identify human settlement areas from Landsat satellite images? Follow these steps using ArcGIS Pro. "Human settlements maps are useful in understanding growth patterns, population distribution, resource management, change detection, and a variety of other applications where information related to earth surface is required. Human settlements classification is a complex exercise and is hard…
  • Data Research Fellows 2021
    Fundamentals of Data Research (FDR) Fellows 2021 Come join us on September 10 for this year’s Data Research Fellow presentations! Managed by the Library’s Data & Digital Scholarship program, fifteen fellows (ten faculty, five graduate students) learned how to integrate data science methods into their research.…
  • Data Viz of the Week #6: Text Data Mining Exploration of Works About Karl Barth
    DVotW (Data Viz of the Week) #6 Published: Monday, September 27, 2020 Title: Text Data Mining Exploration of Works About Karl Barth Contributors: Bill Hair, Joshua Been Data: Gale Digital Scholar Lab (Baylor Only)
  • Workshop: Visualizing Text Locations Using Python
    Holding a hands-on workshop at SMU in a couple of weeks. Have a collection of digitized books, music lyrics, letters, or articles, and want to visualize a map of all locations mentioned in the texts? A combination of Python libraries, including spaCy, Geocoder, and Folium can seamlessly bridge the worlds…
  • Mapping Happiness: Happiest Places on Earth
    Where is *your* happiest place? Use this online tool to find out. Select from available criteria, set the direction, and assign weights. Data Source: Complete Collection, v1.01 Background: In 2014 I held a GIS workshop leading participants through an ArcGIS Desktop exercise using suitability analysis to create…
  • Creative Waco - New Potential Constituents
    Project Title: Creative Waco - New Potential Constituents Description:Each student group is focusing on one particular sector to help identify other constituents to bring to the table to work with Creative Waco. Based on each team's focus, students used up to five (5) variables to create a Risk Index by Block Group in McLennan County.…
  • Impoverished Youth Index & Unused Church Properties
    Project Title: Impoverished Youth Index & Unused Church Properties Description:Identify unused church properties in McLennan County, Texas that may potentially be used to support social service targeted at impoverished youth. This visualization was built specifically for a graduate course cross-listed as Social Work/Truett Seminary. Researchers Involved: Dr. Stephanie Boddie, Baylor School of Social Work Joshua…